The answer depends on where users work, which workflows need to change, what data the AI needs, and what actions it must take.
| Decision question | Agentforce | Claude-enabled Salesforce workflow |
|---|---|---|
| Primary environment | Salesforce-native experiences and agents | Claude-led experiences connected to Salesforce context |
| Best starting point | Customer service, sales, knowledge and Salesforce workflows | Revenue-team reasoning, account context and work performed in Claude or connected tools |
| Main design concern | Salesforce data, actions, permissions and agent behaviour | Claude interaction, Salesforce permissions, context and governed actions |
| Measurement | Task completion, resolution, handling time, adoption or revenue activity | Decision quality, seller productivity, pipeline hygiene and approved actions |
| Delivery requirement | Outcome, data, action design and testing | Outcome, context, permissions, action design and testing |
A practical decision rule
Choose the environment where the user already works and where the business outcome can be measured. If the workflow needs Salesforce-native records, actions and service processes, Agentforce may be the natural starting point. If revenue teams already work heavily in Claude and need governed access to Salesforce context, a Claude-enabled path may be more suitable.
Do not decide from the model name alone
The difficult work is usually the operating design: clean data, permissions, business rules, human approvals, exception handling and measurement.